How does traffic sign recognition (TSR) work?

TSR uses cameras to identify and interpret traffic signs. Process involves: Detecting potential signs in images (color-based segmentation, shape detection), classifying signs using machine learning (CNNs trained on sign databases), interpreting sign meaning, and displaying relevant information to the driver. Advanced systems integrate with vehicle control (speed limit assist) and navigation. Challenges include sign variations across countries, damaged/obscured signs, temporary signs, and lighting conditions. Some systems use map data to supplement real-time detection. TSR is part of intelligent speed adaptation systems required by regulations and NCAP protocols.